Alternatives and similar repositories for 2021-ComputeFest

Users that are interested in 2021-ComputeFest are comparing it to the libraries listed below

• WillKoehrsen / probabilistic-programming
  Experimenting with and teaching probabilistic programming
  ☆104Updated 3 years ago
• harnav / pydata-docker-tutorial
  Tutorial given at PyData LA 2018
  ☆97Updated 10 months ago
• amueller / COMS4995-s20
  COMS W4995 Applied Machine Learning - Spring 20
  ☆247Updated 3 years ago
• Harvard-IACS / 2019-CS109B
  ☆62Updated 6 years ago
• dipanjanS / live-manning-nlpconf20
  Papers, code and slides for my session at the live@manning NLP conference, 2020 covering my talk on Deep Transfer Learning for Natural La…
  ☆36Updated 4 years ago
• stephencwelch / dsgo-dl-workshop-summer-2020
  Deep Learning Workshop for Data Science Go Virtual Event Summer 2020
  ☆36Updated 3 years ago
• bgweber / DS_Production
  ☆155Updated 4 years ago
• bhavsarpratik / data-science-interview-assignments
  Real data science interview assignments
  ☆93Updated 4 years ago
• thomasjpfan / ml-workshop-intro
  Introduction to scikit-learn: Machine Learning in Python
  ☆20Updated 3 years ago
• matthewbrems / missing-data-workshop
  Matt Brems' Missing Data Workshop
  ☆83Updated 2 years ago
• AllenDowney / SurvivalAnalysisPython
  Explorations of survival analysis in Python
  ☆50Updated 2 years ago
• amueller / aml
  Applied Machine Learning with Python
  ☆80Updated last year
• Harvard-IACS / 2020-ComputeFest
  ☆48Updated 5 years ago
• dssg / mlforpublicpolicylab
  Repo for ML for Public Policy Lab course at CMU
  ☆113Updated last year
• WillKoehrsen / data-science-for-good
  Data Science for Good Projects
  ☆49Updated 6 years ago
• john-guerra / MIDS_W209_Information_Visualization_Slides
  Slides for the W209 Information Visualization course of the Masters in Data Science at UC Berkeley
  ☆63Updated 5 months ago
• hugobowne / bayesian-stats-simulation-tutorial
  Bayesian statistical modelling using numpy and PyMC3. Telling stories using the language of probability. And more!
  ☆16Updated 6 years ago
• tdpetrou / integrating-pandas-with-scikit-learn
  Tutorial covering a new workflow available going from pandas to scikit-learn
  ☆40Updated 2 years ago
• amueller / ml-workshop-3-of-4
  Advanced Machine Learning with Scikit-learn part I
  ☆141Updated 5 years ago
• reshamas / ds_resources
  Data Science Resources
  ☆79Updated 2 months ago
• MaartenGr / Projects
  Data Science Portfolio
  ☆73Updated 4 years ago
• rajshah4 / inter_workshop
  Workshop materials for ODSC 2019 Interpretability Talk
  ☆25Updated 5 years ago
• tdg5 / stats-learning-notes
  Notes from Introduction to Statistical Learning
  ☆116Updated 7 years ago
• AileenNielsen / OReillyHealthcareData
  ☆40Updated 7 years ago
• gedeck / dmba
  Utility functions for "Data Mining for Business Analytics: Concepts, Techniques, and Applications in Python"
  ☆78Updated last year
• DunderData / Tutorials
  Python data science and machine learning from Ted Petrou with Dunder Data
  ☆55Updated 2 years ago
• vikua / ts-workshop
  ☆13Updated 2 years ago
• shilpa9a / Introduction_to_statistical_learning_summary_python
  Summary of each chapter of the book- Introduction of Statistical Learning (ISL), along with Python code & data.
  ☆181Updated 11 months ago
• gaganmanku96 / Docker-Tutorial---Data-Scientists
  ☆27Updated 5 years ago
• maxhumber / DE4DS
  ⭕️ Data Engineering for Data Scientists
  ☆77Updated 2 years ago